File file = new File("Java.jpg");
            Image image = new Image(file.toURI().toString());
            imga.setImage(image);
            String modelpath = "C:\\Users\\AngruAdminAlex\\Documents\\inception_dec_2015";
            graphDef
                    = readAllBytesOrExit(Paths.get(modelpath,
                            "tensorflow_inception_graph.pb"));
            labels
                    = readAllLinesOrExit(Paths.get(modelpath,
                            "imagenet_comp_graph_label_strings.txt"));
            File file1 = new File("Java.jpg");
            String imagepath = "Java.jpg";
            System.out.println(
            "Image
    Path: " + imagepath); BufferedImage img = ImageIO.read(file1); //read
    image System
            .out.println("Reading complete.");
            byte[] imageBytes
                    = readAllBytesOrExit(Paths.get(imagepath));
            byte data[] = imageBytes;
            FileOutputStream out = new FileOutputStream("buffer.rawfile");
            out.write(data);
            out.close();
            try (Tensor image1
                    = Tensor.create(imageBytes)) {
                float[] labelProbabilities
                        = executeInceptionGraph(graphDef, image1);
                int bestLabelIdx
                        = maxIndex(labelProbabilities);
                System.out.println(String.format( "BEST
    MATCH:
                 % s( % .2f likely)", labels.get(bestLabelIdx),
    labelProbabilities[bestLabelIdx] * 100f
                )); results.setText(
                        String.format("BEST MATCH: %s (%.2f likely)",
                                labels.get(bestLabelIdx), labelProbabilities[bestLabelIdx] * 100f));
            }
        }
    }

    }